Overview

Oracle

Stacks2.4K

Followers1.8K

Votes113

Sybase

Stacks45

Followers80

Votes10

Oracle vs Sybase: What are the differences?

Oracle vs Sybase

Oracle and Sybase are both popular relational database management systems (RDBMS) used in enterprise environments. While they share some similarities, there are key differences between the two.

Architecture: Oracle uses a multithreaded server architecture, allowing multiple threads to handle different tasks concurrently. On the other hand, Sybase uses a multiengine architecture, where each engine is responsible for handling a specific task such as processing queries or managing connections.
Data Replication: Oracle offers advanced data replication capabilities, including various methods such as physical, logical, and snapshot replication. Sybase, on the other hand, provides simpler replication options such as warm standby replication and synchronous replication.
Data Encryption: Oracle offers transparent data encryption (TDE), which allows for data encryption at the tablespace level. It ensures that data at rest is securely protected. Sybase does not offer a built-in transparent encryption feature like TDE, requiring additional third-party tools for data encryption.
Partitioning: Oracle provides a range of partitioning options to enhance query performance and manage large data sets. These include range, list, composite, and interval partitioning methods. Sybase offers limited partitioning capabilities, primarily through manual table splitting or using third-party extensions.
Data Types: Oracle has a broader range of built-in data types compared to Sybase. This includes support for a variety of spatial, XML, and multimedia data types. Sybase, while offering the essential data types, may require additional customization or extensions for specific data storage requirements.
Backup and Recovery: Oracle provides comprehensive backup and recovery tools, such as Recovery Manager (RMAN), to perform backups, restore data, and recover from failures. Sybase also offers backup and recovery mechanisms but with fewer options compared to Oracle's extensive toolset.

In summary, Oracle offers a more robust architecture, advanced data replication capabilities, transparent data encryption, enhanced partitioning options, a broader range of built-in data types, and comprehensive backup and recovery tools compared to Sybase. However, Sybase may still be suitable for simpler environments where advanced features are not required.

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Advice on Oracle, Sybase

Daniel

Data Engineer at Dimensigon

Jul 18, 2020

Decided

We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.

495k views495k

Comments

Abigail

Dec 6, 2019

Decided

In the field of bioinformatics, we regularly work with hierarchical and unstructured document data. Unstructured text data from PDFs, image data from radiographs, phylogenetic trees and cladograms, network graphs, streaming ECG data... none of it fits into a traditional SQL database particularly well. As such, we prefer to use document oriented databases.

MongoDB is probably the oldest component in our stack besides Javascript, having been in it for over 5 years. At the time, we were looking for a technology that could simply cache our data visualization state (stored in JSON) in a database as-is without any destructive normalization. MongoDB was the perfect tool; and has been exceeding expectations ever since.

Trivia fact: some of the earliest electronic medical records (EMRs) used a document oriented database called MUMPS as early as the 1960s, prior to the invention of SQL. MUMPS is still in use today in systems like Epic and VistA, and stores upwards of 40% of all medical records at hospitals. So, we saw MongoDB as something as a 21st century version of the MUMPS database.

540k views540k

Comments

Abigail

Dec 10, 2019

Decided

We wanted a JSON datastore that could save the state of our bioinformatics visualizations without destructive normalization. As a leading NoSQL data storage technology, MongoDB has been a perfect fit for our needs. Plus it's open source, and has an enterprise SLA scale-out path, with support of hosted solutions like Atlas. Mongo has been an absolute champ. So much so that SQL and Oracle have begun shipping JSON column types as a new feature for their databases. And when Fast Healthcare Interoperability Resources (FHIR) announced support for JSON, we basically had our FHIR datalake technology.

558k views558k

Comments

Detailed Comparison

Oracle	Sybase
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.	Modernize and accelerate your transaction-based applications on premise and in the cloud. This high-performance SQL database server uses a relational management model to meet rising demand for performance, reliability, and efficiency in every industry.
-	Faster, more secure transfer of database files; Multiversion concurrency control (MVCC); Three-system monitoring procedures
Statistics
Stacks 2.4K	Stacks 45
Followers 1.8K	Followers 80
Votes 113	Votes 10
Pros & Cons
Pros 44 Reliable 33 Enterprise 15 High Availability 5 Hard to maintain 5 Expensive Cons 14 Expensive	Pros 1 HADR does not lose data is superior to Allwayson which 1 Max number of connection is 350000 1 HADR dont loose data 1 Replication server the best 1 Sybase has at least 200000 from 15 years ago

What are some alternatives to Oracle, Sybase?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.